Demographics details for San leandro, CA vs Omaha, NE
Population Overview
Compare main population characteristics in San leandro, CA vs Omaha, NE.
| Data | San leandro | Omaha |
|---|---|---|
| Population | 86,762 | 485,153 |
| Median Age | 41.5 years | 35.1 years |
| Median Income | $97,141 | $70,202 |
| Married Families | 40.0% | 36.0% |
| Poverty Level | 12% | 13% |
| Unemployment Rate | 4.8 | 3.5 |
Population Comparison: San leandro vs Omaha
- The population in Omaha is higher at 485,153, compared to 86,762 in San leandro.
- Residents in San leandro have a higher median age of 41.5 years compared to 35.1 years in Omaha.
- San leandro has a higher median income of $97,141 compared to $70,202 in Omaha.
- A higher percentage of married families is found in San leandro at 40.0% compared to 36.0% in Omaha.
- The poverty level is higher in Omaha at 13%, compared to 12% in San leandro.
- The unemployment rate in San leandro is higher at 4.8%, compared to 3.5% in Omaha.
Demographics
Demographics San leandro vs Omaha provide insight into the diversity of the communities to compare.
| Demographic | San leandro | Omaha |
|---|---|---|
| Black | 11 | 12 |
| White | 12 | 60 |
| Asian | 36 | 4 |
| Hispanic | 29 | 15 |
| Two or More Races | 11 | 8 |
| American Indian | 1 | 1 |
Demographics Comparison: San leandro vs Omaha
- In Omaha, the percentage of Black residents is higher at 12% compared to 11% in San leandro.
- The percentage of White residents is higher in Omaha at 60% compared to 12% in San leandro.
- The Asian population is larger in San leandro at 36% compared to 4% in Omaha.
- The Hispanic community is larger in San leandro at 29% compared to 15% in Omaha.
- More residents identify as two or more races in San leandro at 11% compared to 8% in Omaha.
- The percentage of American Indian residents is the same in both San leandro and Omaha at 1%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | San leandro | Omaha |
|---|---|---|
| Mental Health Not Good | 15.1% | 14.4% |
| Physical Health Not Good | 9.9% | 9.7% |
| Depression | 16.8% | 19.4% |
| Smoking | 11.1% | 15.4% |
| Binge Drinking | 14.6% | 20.4% |
| Obesity | 26.7% | 36.3% |
| Disability Percentage | 11.0% | 11.0% |
Health Statistics Comparison: San leandro vs Omaha
- More residents in San leandro report poor mental health at 15.1% compared to 14.4% in Omaha.
- Higher depression rates are seen in Omaha at 19.4% versus 16.8% in San leandro.
- Omaha has a higher smoking rate at 15.4% compared to 11.1% in San leandro.
- More residents engage in binge drinking in Omaha at 20.4% compared to 14.6% in San leandro.
- Omaha has higher obesity rates at 36.3% compared to 26.7% in San leandro.
- Disability percentages are the same in both San leandro and Omaha at 11.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | San leandro | Omaha |
|---|---|---|
| No Schooling | 3.5% (2,999) | 1.7% (8,272) |
| High School Diploma | 16.2% (14,031) | 12.1% (58,598) |
| Less than High School | 17.8% (15,482) | 11.0% (53,160) |
| Bachelor's Degree and Higher | 25.2% (21,903) | 25.9% (125,578) |
Education Levels Comparison: San leandro vs Omaha
- A higher percentage of residents in San leandro have no formal schooling at 3.5% compared to 1.7% in Omaha.
- A higher percentage of residents in San leandro hold a high school diploma at 16.2% compared to 12.1% in Omaha.
- More residents in San leandro have less than a high school education at 17.8% compared to 11.0% in Omaha.
- In Omaha, a larger share of residents have a bachelor's degree or higher at 25.9% compared to 25.2% in San leandro.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.